Approximating time-dependent non-exponential queues

Authors:
Michael R. Taaffe;Kim Ong
Affiliations:
-;-
Venue:
WSC '84 Proceedings of the 16th conference on Winter simulation
Year:
1984

Citing 2
Cited 1

Use of Polya distributions in approximate solutions to nonstationary M/M/s queues

Communications of the ACM - Special issue on simulation modeling and statistical computing
Principles of Discrete Event Simulation

Principles of Discrete Event Simulation

Time-dependent queueing network approximations as simulation external control variates

Operations Research Letters

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Abstract

Moment-differential equations, moment-matching, surrogate distributions and numerical integration have been combined to form a small closed set of differential equations that can accurately approximate huge sets of Kolmogorov-forward equations for complex nonstationary queueing models.